2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)最新文献_第4页

Challenges in simulating robotics and automation systems for real world applications utilising project based courses 利用基于项目的课程模拟机器人和自动化系统在现实世界应用中的挑战

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451617

S. Hamid, H. Yusof, M. H. A. Abd Latif

引用次数: 0

A tactile mouse capable of generating velvet-like sensation to the human palm 一种触觉鼠标，能够给人的手掌产生天鹅绒般的感觉

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451597

R. Nader, H. Nomura, Shojiro Matsushita, Hiraku Komura, M. Ohka, T. Miyaoka

引用次数: 0

Active Front Wheel Steering System of 4×4 armored vehicle: Rejection of unwanted firing disturbance 4×4装甲车主动前轮转向系统:抑制不必要的射击干扰

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451589

V. R. Aparow, K. Hudha, Megat M. H. M. Ahmad, S. Abdullah

引用次数: 2

Optimal route planning with prioritized task scheduling for AUV missions 基于优先任务调度的AUV任务最优路径规划

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451578

S. M. Zadeh, D. Powers, K. Sammut, A. Lammas, A. Yazdani

{"title":"Optimal route planning with prioritized task scheduling for AUV missions","authors":"S. M. Zadeh, D. Powers, K. Sammut, A. Lammas, A. Yazdani","doi":"10.1109/IRIS.2015.7451578","DOIUrl":"https://doi.org/10.1109/IRIS.2015.7451578","url":null,"abstract":"This paper presents a solution to Autonomous Underwater Vehicles (AUVs) large scale route planning and task assignment joint problem. Given a set of constraints (e.g., time) and a set of task priority values, the goal is to find the optimal route for underwater mission that maximizes the sum of the priorities and minimizes the total risk percentage while meeting the given constraints. Making use of the heuristic nature of genetic and swarm intelligence algorithms in solving NP-hard graph problems, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are employed to find the optimum solution, where each individual in the population is a candidate solution (route). To evaluate the robustness of the proposed methods, the performance of the all PS and GA algorithms are examined and compared for a number of Monte Carlo runs. Simulation results suggest that the routes generated by both algorithms are feasible and reliable enough, and applicable for underwater motion planning. However, the GA-based route planner produces superior results comparing to the results obtained from the PSO based route planner.","PeriodicalId":175861,"journal":{"name":"2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127722238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 43

EMG based classification for continuous thumb angle and force prediction 基于肌电图的连续拇指角度分类与力预测

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451584

Abdul Rahman Siddiqi, S. N. Sidek, M. R. Roslan

{"title":"EMG based classification for continuous thumb angle and force prediction","authors":"Abdul Rahman Siddiqi, S. N. Sidek, M. R. Roslan","doi":"10.1109/IRIS.2015.7451584","DOIUrl":"https://doi.org/10.1109/IRIS.2015.7451584","url":null,"abstract":"Human hand functions range from precise-minute handling to heavy and robust movements. Remarkably, 50 percent of all hand functions are made possible by the thumb. Therefore, developing an artificial thumb which can mimic the actions of a real thumb precisely is a major achievement. Despite many efforts dedicated to this area of research, control of artificial thumb movements in resemblance to our natural movement, still poses as a challenge. Most of the development in this area is based on discontinuous thumb position control, which makes it possible to recreate several of the most important functions of the thumb but does not result in total imitation. This work looks into the classification of Electromyogram (EMG) signals from thumb muscles for the prediction of thumb angle and force during flexion motion. For this purpose, an experimental setup is developed to measure the thumb angle & force throughout the range of flexion and simultaneously gather the EMG signals. Further various different features are extracted from these signals for classification and the most suitable feature set is determined and applied to different classifiers. A `piecewise- discretization' approach is used for continuous angle prediction. Breaking away from previous researches, the frequency-domain features performed better than the time-domain features, with the best feature combination turning out to be MDF-MNF-MNP. As for the classifiers, the Support Vector Machine proved to be the most accurate classifier giving about 70% accuracy for both angle and force classification and close to 50% for joint angle-force classification.","PeriodicalId":175861,"journal":{"name":"2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132763836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

An investigation into the recurring patterns of forex time series data 外汇时间序列数据重复模式的研究

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451631

Y. Yong, Yunli Lee, D. Ngo

引用次数: 2

Design of a multi-diameter in-line cleaning and fault detection pipe pigging device 一种多管径在线清洗与故障检测清管装置的设计

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451622

Firas B. Ismail Alnaimi, Ali Ahmadian Mazraeh, K. Sahari, K. Weria, Y. Moslem

{"title":"Design of a multi-diameter in-line cleaning and fault detection pipe pigging device","authors":"Firas B. Ismail Alnaimi, Ali Ahmadian Mazraeh, K. Sahari, K. Weria, Y. Moslem","doi":"10.1109/IRIS.2015.7451622","DOIUrl":"https://doi.org/10.1109/IRIS.2015.7451622","url":null,"abstract":"This work presents an innovative approach for the design and development of Pipeline Inspection Gauge (PIG) which can clean / inspect pipes from 6\" up to 14\" with a simple change of shirts using the latest technologies such as Ultra Sonic Sensors for the pipelines of palm oil, water, and oil/ gas industries through the creation of a simulation tool capable of generating simulated images from pipeline using Arduino Software for highest accuracy and precision inspection to protect the environment and equipment from any unexpected accident. There are several DC motors powered by an installed battery to move the PIG inside the Pipeline. Radio transmitter is used to elongate the distance of investigation by the mean of reduction of the number of individual pigging processes to save time and cost for companies. The DC controller used to control each individual DC motor to rotate synchronizely producing linear movement of The PIG inside the Pipeline. Fluid hammer effect is another factor which has been considered during designing this pig. To avoid such case to occur the design has been revised and several arms have been devised around the robot to maintain the speed and position of pig all the way through the pipeline.","PeriodicalId":175861,"journal":{"name":"2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133118988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Simulation of the real-time simulation systems and its integration with the automated control system of an enterprise 实时仿真系统的仿真及其与企业自动化控制系统的集成

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451619

K. Aksyonov, E. Bykov, O. Aksyonova, A. Nevolina, N. Goncharova

{"title":"Simulation of the real-time simulation systems and its integration with the automated control system of an enterprise","authors":"K. Aksyonov, E. Bykov, O. Aksyonova, A. Nevolina, N. Goncharova","doi":"10.1109/IRIS.2015.7451619","DOIUrl":"https://doi.org/10.1109/IRIS.2015.7451619","url":null,"abstract":"This work describes the integration method of simulation models used within the information system of an industrial enterprise. We describe the integration problem on a basic class of models - the real-time models. Such models can be applied in such processes as control and monitoring, situation diagnosis and decision making. The core of the method lies in multi-agent approach. The method has been further extended by the intelligent distributed agents. The dynamic model consists of the main model of a multi-agent resources conversion process with support for multi-agent modeling, together with agent-based modeling, discrete-event modeling and queuing systems. To substantiate suggested technical decision of the integration module existing message brokers were analyzed. We also present the ontology of the subject area. It can be applied to semantic integration of data, which is required for the simulation of business, technological and logistical processes. Java language has been used in order to let the system have cross-platform availability.","PeriodicalId":175861,"journal":{"name":"2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115187476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Image feature extraction algorithm for robotic applications: Region features case 用于机器人的图像特征提取算法:区域特征案例

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451632

Dafizal Derawi, Nurul Dayana Salim, H. Zamzuri, Mohd Azizi Abdul Rahman, K. Nonami

引用次数: 0

Neuro signal based lie detection 基于神经信号的测谎

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) Pub Date : 2015-10-01 DOI: 10.1109/IRIS.2015.7451606

Rumeysa Çakmak, A. Zeki

{"title":"Neuro signal based lie detection","authors":"Rumeysa Çakmak, A. Zeki","doi":"10.1109/IRIS.2015.7451606","DOIUrl":"https://doi.org/10.1109/IRIS.2015.7451606","url":null,"abstract":"Polygraph has been used for deception detection as an alternative way to provide proof for investigation; however the significant shortcoming occurs based on its reliability. This paper proposes to understanding the relationship between lying and frontal lobe during some specific tasks by mapping their EEG signals. In the present study, Multiplayer neural network are used for bio-signal classification. For each group subject, features from Short-time Fourier transform (STFT) are computed, for each channel. Multi-layer Perception (MLP) is used for classification to differentiate between deception and truth types of EEG classes with the accuracy of around 90%. Feature extractions were strong enough and mental processes linked with the activation of the frontal cortex. Three students' alpha waves were collected while they play the “Pokemon card” and this card chosen in order to challenge participants during testing duration. The goal of this study is to evaluate different state of truth and deception for the extraction of EEG features that are most suitable for the discrimination between each stage. The EEG recordings were obtained alpha waves from four frontal electrodes and two midline electrodes.","PeriodicalId":175861,"journal":{"name":"2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128802030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11